Expanded Population Health Model Evaluation

NCT06044831 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 300

Last updated 2026-04-09

No results posted yet for this study

Summary

This study will evaluate the impact of a comprehensive wellness and social determinants of health intervention on cardiovascular health in a community setting of the Bonton neighborhood. Participants will not be assigned to intervention activities, but health and wellbeing indicators will be collected in relation to how they choose to participate in activities over the year.

Conditions

Interventions

BEHAVIORAL

Expanded Population Health Model

This intervention includes the current population health model in addition to expanded programming from a local community organization. The current population health model with Baylor Scott \& White Health and Wellness Center includes access to primary care, general wellness programs such as cooking classes and nutritional counseling, and evidence-based disease management and prevention. The additional programs from a local community organization focus on human essentials integral to improving health and quality of life and include: health and wellness, economic stability, safe and affordable housing, transportation, a sense of belonging, education, and access to fair credit.

Sponsors & Collaborators

  • Southern Star Medical Research Institute

    collaborator UNKNOWN
  • Baylor Research Institute

    lead OTHER

Principal Investigators

  • Kevin Sykes, PhD, MPH · Baylor Scott & White Health and Wellness Center

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2023-08-28
Primary Completion
2026-07-31
Completion
2026-10-31

Countries

  • United States

Study Locations

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Entities

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06044831 on ClinicalTrials.gov